| 000 | 00839nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c30532 _d30532 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a005 _bKAS |
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| 100 | _aMuhammad Kashif Hashmi (F17A14G05023) | ||
| 245 | _aHybrid approach for improved classification of human brain signals | ||
| 260 |
_aFaisalabad _b(Unpublished) _c2019 |
||
| 300 |
_axiv, 58 p. _b: ill. _c; 30 cm. |
||
| 500 | _aSubmitted in fulfillment of requirements for the degree of Master of Sciences in Computer Science to the Faculty of Computing | ||
| 500 | _aIncludes bibliographical references | ||
| 500 | _aThesis supervisor: Dr Umar Iqbal | ||
| 502 | _aThesis (MSCS)--Riphah International University, 2019 | ||
| 546 | _aEnglish | ||
| 650 |
_aComputer science _vHybrid approaches _vHuman brain _vInformation theory _vBiometry--Data processing _vFC |
||
| 942 | _cTH | ||